Technical Lead Ai/ml

Tata Consultancy Services Limited

Santa Clara, CA, United States

1 day ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$130,000.0 - $150,000.0

Working hours

Regular working hours

Job source

jobs.localjobnetwork.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Application Frameworks Software Applications Cloud Computing Cloud Engineering Continuous Integration Information Engineering DevOps Information Retrieval Python (Programming Language) Azure Machine Learning

+11 more

Software Engineering Google Cloud Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Agentic-AI Containerization Kubernetes Machine Learning Operations Google Gemini Microservices

Job description

Lead the solution architecture and technical strategy for enterprise AI and cloud transformation initiatives.
Engage with customers and business stakeholders to translate business challenges into scalable AI solutions.
Design and oversee the development of AI-powered applications leveraging Gemini, Vertex AI, and Google Cloud services.
Build and drive complex AI architectures involving RAG, Agentic AI, multimodal AI, and enterprise integrations.
Lead technical discovery sessions, workshops, PoCs, and customer demonstrations.
Mentor engineering teams and establish best practices for AI engineering and cloud-native development.
Collaborate with product, engineering, sales, and partner teams to accelerate AI adoption and business outcomes.
Define technical roadmaps, governance standards, and operational models for enterprise-scale AI deployments.
Stay current with emerging AI technologies and apply them to customer scenarios

Requirements

Must have 10+ years of software engineering experience with strong expertise in system design and scalable architecture.
Must have extensive experience in Python, APIs, microservices, and cloud-native application development.
Must have 4+ years of hands-on experience with Google Cloud Platform (GCP), Vertex AI, Gemini APIs, Agent Builder, and AI/ML platforms.
Must have experience designing and delivering enterprise AI solutions using LLMs, RAG, multi-agent systems, and Agentic AI frameworks.
Must have experience leading customer-facing solution architecture, technical consulting, and executive stakeholder engagements.
Must have experience building AI accelerators, reusable frameworks, PoCs, and production-grade AI applications.
Must have expertise in cloud architecture, Kubernetes, containerization, DevOps, CI/CD, and platform engineering.
Must have strong experience in data engineering, vector databases, knowledge retrieval systems, and AI governance.

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